We are hiring a Senior Platform Engineer to architect automated cloud infrastructure, integrate generative AI into AIOps capabilities, and advance cloud automation practices. You will build IaC, CI/CD, and MLOps solutions and improve observability outcomes—apply today.

Responsibilities

- Build automated workflows to provision cloud infrastructure using IaC tools such as Terraform

- Create reusable frameworks for deployment, configuration, and management across different cloud environments

- Own service catalog components and maintain smooth integration with platforms like Backstage

- Leverage GenAI models to enhance service catalog features and raise code quality in automation pipelines

- Implement CI/CD pipelines and maintain CI pipeline code used for cloud automation

- Develop automation scripts for deployment orchestration using Python, Bash, or similar scripting languages

- Deliver generative AI models that enable AIOps use cases like anomaly detection and predictive maintenance

- Deploy RAG workflows using frameworks such as LangChain or cloud platforms including Bedrock, Vertex AI, and Azure AI

- Build and refine vector databases and document sources using tools such as OpenSearch, Amazon Kendra, or similar solutions

- Curate, prepare, and label datasets for generative AI models while ensuring scalability and data integrity

- Implement agentic workflows using frameworks like LangGraph or GenAI platforms such as Bedrock Agents





- Connect generative AI models to operational systems and AIOps platforms to reinforce automation

- Measure AI model performance and lead iterative optimization efforts

- Maintain MLOps pipelines to track model decay and address it proactively

- Coordinate with cross-functional teams to drive innovation and improve cloud automation workflows

- Explore and propose recent tools and best practices to boost operational efficiency

Requirements

- Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline

- Minimum 5 years working in cloud infrastructure automation, scripting, and DevOps

- Hands-on expertise with IaC tooling including Terraform, CloudFormation, or comparable technologies

- Strong command of Python, cloud AI frameworks like LangChain, and generative AI workflow design

- Track record of delivering and deploying AI models such as RAG or transformer-based architectures

- Experience building vector databases and document sources through tools like OpenSearch or Amazon Kendra

- Ability to prepare and label datasets for AI models while optimizing data inputs

- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure

- Experience implementing MLOps pipelines and tracking AI system performance

Nice to have

- Knowledge of agentic architectures like React and techniques for flow engineering

- Hands-on experience with Bedrock Agents or LangGraph for workflow development

- Understanding of integrating generative AI into legacy or complex operational environments

📌 Senior Platform Engineer (GenAI-Enabled AIOps & IaC) (Bengaluru)
🏢 EPAM Systems
📍 Bengaluru